Note: The job is a remote job and is open to candidates in USA. SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. As a ML Research Engineer, you will bring cutting edge research into production-grade reality, tasked with architecting, scaling, and optimizing scientific codebases that power their Large Quantitative Models (LQMs) for drug discovery.
Responsibilities
- Research, Architect, and Scale: Bring novel ideas and the content of scientific papers into high-performing and robust scientific code
- ML Engineering: Lead the ideation, benchmarking, and execution of complex datasets and ML models, ensuring seamless integration into our large-scale simulation frameworks
- Ownership of the Lifecycle: Drive software through the entire product lifecycle—from foundational research and implementation to launch and long-term support—ensuring technical excellence at every stage
Skills
- PhD, or research-focused MSc, in Computer Science, Physics, Chemistry, or a related quantitative field focused on advanced computational methods
- 5+ years industry experience developing productionized software in professional teams
- Experience or training in data-science related tasks related to structural biology
- Expertise translating research papers into concrete ML software artifacts
- Experience supporting models in external-facing products, demonstrating the ability to bridge the gap between 'research code' and 'product code'
- Direct experience in biopharma or training leading-edge affinity, structure-prediction, or generative chemistry models
- A history of developing and launching successful commercial software products within a professional engineering team
- Familiarity with MLOps practices on major cloud platforms to support automated scaling and model monitoring
- Experience working in interdisciplinary environments where AI intersects with physical or biological sciences
Benefits
- Performance-based incentives or bonuses (where applicable)
- Equity participation
- Comprehensive medical, dental, and vision coverage for employees and dependents with generous employer premium contributions
- Retirement savings with company matching
- Paid parental leave
- Inclusive family-building benefits
- Flexible paid time off
- Company-wide seasonal breaks
- Support for flexible work arrangements that enable sustainable performance
- Opportunities for continuous learning and growth through on-the-job development, cross-functional collaboration, and access to internal learning and development programs
Company Overview
Company H1B Sponsorship